What Happened
- IMF Managing Director Kristalina Georgieva, speaking at the India AI Impact Summit on February 20, 2026, warned that AI is "like a tsunami hitting the labour market" while acknowledging its potential to accelerate global GDP growth by 0.8 percentage points.
- The IMF estimates that 40% of jobs globally and 60% of jobs in advanced economies will be affected by AI in the coming years, either through enhancement, elimination, or transformation.
- For India specifically, the AI impact is estimated at a more moderate 26% of jobs, and Georgieva praised India's investment in public digital infrastructure and its youthful population embracing AI.
- Georgieva highlighted the "squeezed middle" problem: middle-skill jobs face the greatest risk as entry-level positions are automated away while high-skilled workers benefit disproportionately.
- She recommended three policy responses: education redesign emphasizing continuous learning, strengthened social safety nets, and adoption of the Danish "flexicurity" model combining labour market flexibility with security.
Static Topic Bridges
IMF's AI and Future of Work Research
The IMF published a landmark Staff Discussion Note titled "Gen-AI: Artificial Intelligence and the Future of Work" (January 2024), which laid the analytical groundwork for its ongoing assessments. A follow-up paper, "Bridging Skill Gaps for the Future: New Jobs Creation in the AI Age" (January 2026), further examined how AI reshapes labour markets. The research finds that for every AI-related job created, the net employment addition is 1.3 jobs, but displacement is concentrated in routine, middle-skill occupations.
- About 1 in 10 job vacancies in advanced economies now demands at least one new AI-related skill; the incidence is about half in emerging economies
- New AI-complementary skills boost average wages and employment but deepen polarization, mostly benefiting high- and low-skilled workers
- Workers whose roles are not enhanced by AI face wage pressure as productivity gains accrue disproportionately to AI-proficient workers
- In developing countries, labour displacement is projected to be a bigger relative risk than in advanced economies
Connection to this news: Georgieva's Summit statements translate the IMF's research findings into policy urgency, emphasizing that without proactive government intervention, AI will widen inequality both within and across countries.
Flexicurity Model
The "flexicurity" model, first articulated by Danish Prime Minister Poul Nyrup Rasmussen in the 1990s, combines three elements in a "golden triangle": flexible hiring and firing rules for employers, generous unemployment benefits (up to two years through A-kasse insurance funds), and active labour market policies including mandatory retraining and counselling. Denmark's model has achieved one of the lowest long-term unemployment rates in Europe while maintaining high labour market dynamism.
- Employers can easily hire and fire workers to adjust to market needs, while workers receive a robust income safety net between jobs
- Unemployed workers receive dagpenge (unemployment benefits) for up to two years if they are members of an unemployment insurance fund
- Compulsory participation in retraining programs is a critical success factor, not just passive income support
- The IMF itself published a working paper titled "Danish for All? Balancing Flexibility with Security" examining the model's applicability to other economies
Connection to this news: Georgieva's explicit recommendation of the flexicurity model for the AI era signals the IMF's view that traditional labour market frameworks are insufficient to manage AI-driven disruption, and that a combination of flexibility, security, and active policy intervention is needed.
India's Digital Public Infrastructure
India's Digital Public Infrastructure (DPI) stack, comprising Aadhaar (biometric identity for 1.4 billion residents), Unified Payments Interface (UPI), and the Open Network for Digital Commerce (ONDC), has been recognized globally as a model for inclusive digital transformation. UPI processed over 16 billion transactions monthly by late 2025. Georgieva specifically praised India's DPI investments as positioning the country to harness AI's benefits.
- Aadhaar covers over 1.4 billion individuals with unique biometric and demographic identity
- UPI has become the world's largest real-time payment system by transaction volume
- India Stack enables paperless, cashless, and presence-less service delivery
- The DPI model has been adopted or studied by over 50 countries
- India's youthful demographic profile (median age ~28) provides a large workforce adaptable to AI-driven roles
Connection to this news: India's existing DPI ecosystem provides the foundation for both harnessing AI productivity gains and managing displacement through digital reskilling platforms, making the country uniquely positioned among emerging economies.
Key Facts & Data
- AI could lift global GDP growth by 0.8 percentage points annually
- 40% of jobs globally and 60% in advanced economies affected by AI
- India-specific AI impact: 26% of jobs at risk
- For every AI job created, net employment addition is 1.3 jobs
- 1 in 10 job vacancies in advanced economies now requires AI-related skills
- IMF recommended three policy responses: education redesign, social safety nets, flexicurity model
- Denmark's flexicurity model: unemployment benefits for up to 2 years with mandatory retraining
- India's UPI: over 16 billion transactions/month by late 2025